Extraction and Recognition of Shoe Logos with a Wide Variety of Appearance Using Two-Stage Classifiers-Reference-Cited by-同舟云学术

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Extraction and Recognition of Shoe Logos with a Wide Variety of Appearance Using Two-Stage Classifiers

Published:2018-05-01 Issue:5 Volume:E101.D Page:1325-1332
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

AOKI Kazunori¹,OHYAMA Wataru¹,WAKABAYASHI Tetsushi¹

Affiliation:

1. Graduate School of Engineering, Mie University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E101.D/5/E101.D_2017MVP0026/_pdf

Reference19 articles.

1. [1] J. Matas, O. Chum, and T. Pajdla, “Robust wide baseline stereo from maximally stable extremal regions,” British Machine Vision Conference, pp.384-396, 2002. 10.5244/c.16.36

2. [2] K. Shirai and W. Ohyama, IEICE-PRMU shoe logo dataset: https://sites.google.com/site/alcon2015prmu/prmu-shoelogo-dataset

3. [3] N. Farajzadeh, “Exemplar-based logo and trademark recognition,” Machine Vision and Applications, vol.26, no.6, pp.791-805, 2015. 10.1007/s00138-015-0695-9

4. [4] W.-T. Chu and T.-C. Lin, “Logo recognition and localization in real-world images by using visual patterns,” IEEE International Conference on Acoustic, Speech and Signal Processing, pp.973-976, 2012. 10.1109/icassp.2012.6288047

5. [5] C.H. Lampert, M.B. Blaschko, and T. Hofmann, “Beyond sliding windows: Object localization by efficient subwindow search,” 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008. 10.1109/cvpr.2008.4587586

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